frontend

README

Skia Infrastructure Gazelle extension for front-end code

The Skia Infrastructure Gazelle extension generates Bazel build targets for front-end code (TypeScript, Sass, HTML) using the rules defined in //infra-sk/index.bzl. Specifically, it generates the following kinds of targets:

• ts_library
• karma_test
• nodejs_test
• sass_library
• sk_element
• sk_page
• sk_element_demo_page_server
• sk_element_puppeteer_test

Glossary

Normally, we use the word "rule" to refer to Bazel rule and macro definitions, e.g.:

def ts_library(name, srcs, ...):
    ...

And we use the word "target" to refer to a specific instance of a rule or macro, e.g.:

ts_library(
    name = "my_lib",
    srcs = ["my_lib.ts"],
)

However, the Gazelle API uses the words "rule kind" to refer to what we normally call "rule", and "rule" to refer to what we normally call "target". The Skia Infrastructure Gazelle extension uses said words in the same fashion as the Gazelle API to avoid confusion.

How Gazelle extensions work (high level overview)

This section describes how a typical Gazelle extension works. The Skia Infrastructure Gazelle extension differs in that it uses a custom rule index to resolve dependencies between rules. These differences are pointed out where necessary.

A Gazelle extension is essentially a go_library with a function named NewLanguage that provides an implementation of the language.Language Go interface. This interface provides hooks for generating rules, parsing configuration directives, and resolving imports to Bazel labels.

Gazelle extensions work in (roughly) three steps, each one corresponding to one method in the language.Language interface:

1. Index the imports that existing Bazel rules may provide (i.e. what existing rules are we working with?).
2. Generate or update rules in each target directory (i.e. what rules do we need to create/update?).
3. Resolve the dependencies of any generated or updated rules (i.e. populate the deps arguments of the rules we created/updated in step 2 with rules from steps 1 and 2).

When the Gazelle binary runs, it will call the language.Language interface methods corresponding to each step in the above order.

For a more in-depth overview, please see https://github.com/bazelbuild/bazel-gazelle/blob/3fccaeca6a77cc41adcb90c4c8ce0af5c49d2c9d/merger/merger.go#L19.

Step 1: Index imports

This step takes place in the implementation of the Imports method of the language.Language interface (defined in the resolve.Resolver interface, which language.Language embeds).

An import is the path of an "import" statement in a programming language. For example, the path of the following TypeScript import statement is measurements/units/international:

import { length as meter } from 'measurements/units/international';

Imports takes as a parameter a Bazel rule (represented as a rule.Rule struct) and returns the set of imports in the underlying programming language that the rule may provide (represented as a slice of resolve.ImportSpec structs).

As an example, suppose that Imports is passed a rule.Rule struct that represents the following ts_library rule, defined in a hypothetical //measurements/units Bazel package:

# //measurements/units/BUILD.bazel

ts_library(
    name = "units",
    srcs = [
        "customary.ts",
        "imperial.ts",
        "international.ts",
    ],
)

In this example, Imports should return the following imports:

• measurements/units/customary
• measurements/units/imperial
• measurements/units/international

Note that the imports returned by Imports are based exclusively on the file names of the rule's sources (srcs attribute). At no point does Imports inspect the contents of the source files.

In step 1, Gazelle invokes Imports once for each Bazel rule in the workspace. Gazelle uses the returned imports to build a resolve.RuleIndex struct which maps imports to the rules that might provide them (see e.g. its FindRulesByImport method.)

In step 2, Gazelle invokes Imports again for each rule generated or updated by the Gazelle extension, in order to make sure the resolve.RuleIndex reflects the changes made by the extension.

In step 3, the resolve.RuleIndex is used to resolve the deps argument of each rule generated or updated by the extension.

How the Skia Infrastructure Gazelle extension differs

While Gazelle extensions typically rely on the resolve.RuleIndex to resolve dependencies, the Skia Infrastructure Gazelle extension uses a custom rule index due to limitations with the resolve.RuleIndex struct. Our implementation of the Imports method populates the custom rule index with all the information required by this extension, and always returns an empty resolve.ImportSpec slice. This results in an empty resolve.RuleIndex, but that is OK because we never use it. In step 3, method Resolve will query the custom rule index to resolve any dependencies between rules, ignoring the resolve.RuleIndex built by Gazelle.

Step 2: Generate or update rules

This step takes place in the implementation of the GenerateRules method of the language.Language interface.

GenerateRules takes a directory as an argument, and generates rules from source files found in the directory. It returns a language.GenerateResult struct with the following contents:

• A list of rules generated from the source files in the directory, represented as rule.Rule structs (field Gen).
• A list of empty rules, that is, existing rules (defined in the directory's BUILD.bazel file) that no longer can be built, e.g. because their source files have been deleted (field Empty).
• A list of imports parsed from the source files of each generated rule (field Imports).

As an example, suppose that directory //measurements/conversions has files conversions.ts and conversions_test.ts with the following contents:

// //measurements/conversions/conversions.ts

import { mass as lb } from 'measurements/units/customary';
import { mass as kg } from 'measurements/units/international';

export const lbsToKg = (lbs: number) =>
  `${lbs} ${lb} is equal to ${lbs * 0.453592} ${kg}`;

// //measurements/conversions/conversions_test.ts

import { lbsToKg } from './conversions';

describe('conversions', () => {
  it('should convert pounds to kilograms', () => {
    expect(lbsToKg(1)).to.equal(
      '1 pound (lb) is equal to 0.45392 kilogram (kg)'
    );
  });
});

In this example, GenerateRules should generate the following rules:

# //measurements/conversions/BUILD.bazel

ts_library(
    name = "conversions",
    srcs = ["conversions.ts"],
    # Note that no "deps" argument is generated in this step. Step 3 populates the "deps" argument.
)

karma_test(
    name = "conversions_test",
    srcs = ["conversions_test.ts"],
    # Note that no "deps" argument is generated in this step. Step 3 populates the "deps" argument.
)

Field Imports of the returned language.GenerateResult should be populated with the following imports, grouped by rule:

• conversions: measurements/units/customary, measurements/units/international.
• conversions_test: ./conversions.

The above imports must be parsed from the sources of each rule. Gazelle extensions may use a parser for the programming language of the source files, regular expressions, or any other suitable technique.

As mentioned in step 1, Gazelle will call the Imports method with each rule returned by GenerateRules in order to keep the rule index up-to-date.

Step 3: Resolve dependencies

This step takes place in the implementation of the Resolve method of the language.Language interface (defined in the resolve.Resolver interface, which language.Language embeds).

Resolve takes as arguments a (rule, imports) pair returned by GenerateRules in step 2, and populates the deps argument of the rule. It does so by querying the resolve.RuleIndex for the rules that provide each import.

Gazelle invokes Resolve once for each rule returned by GenerateRules.

The example rules from step 2 might look as follows after having their deps arguments populated by Resolve:

# //measurements/conversions/BUILD.bazel

ts_library(
    name = "conversions",
    srcs = ["conversions.ts"],
    deps = ["//measurements/units:units"],
)

karma_test(
    name = "conversions_test",
    srcs = ["conversions_test.ts"],
    deps = [":conversions"],
)

How the Skia Infrastructure Gazelle extension differs

As mentioned in step 1, the Skia Infrastructure Gazelle extension ignores Gazelle's resolve.RuleIndex, and uses a custom rule index instead, which is populated in the Imports method. Our implementation of the Resolve method uses said custom rule index to resolve dependencies between rules.

How to add support for additional rule kinds

Support for new rule kinds (e.g. foo_library, bar_binary, etc.) can be added in three steps:

1. Update method GenerateRules to generate, update and delete rules of the new kind, and parse any imports present in their source files.

2. Update method Resolve to resolve the deps argument of rules of the new kind, if necessary.

3. Any rule kinds generated by the Skia Infrastructure Gazelle extension must be included in the return values of methods KnownDirectives, Loads and Kinds.

Additional readings

• Extending Gazelle: https://github.com/bazelbuild/bazel-gazelle/blob/master/extend.rst.
• Sample Gazelle extension by Ecosia: https://github.com/jasongwartz/bazel_rules_nodejs_contrib.
• Tentative Gazelle extension for Sass: https://github.com/bazelbuild/rules_sass/pull/75/files.

Documentation

Index

• func NewLanguage() gazelle.Language

Functions

func NewLanguage

func NewLanguage() gazelle.Language

NewLanguage returns an instance of the Gazelle extension for Skia Infrastructure front-end code.

This function is called from the Gazelle binary.